import csv
import datasets

class GenericCSVLoader(datasets.GeneratorBasedBuilder):
    def _info(self):
        return datasets.DatasetInfo(
            description="Generic CSV loader script for Hugging Face Datasets.",
            features=datasets.Features({
                "CRASH DATE": datasets.Value("string"),
                "CRASH TIME": datasets.Value("string"),
                "BOROUGH": datasets.Value("string"),
                "ZIP CODE": datasets.Value("string"),
                "LATITUDE": datasets.Value("string"),
                "LONGITUDE": datasets.Value("string"),
                "LOCATION": datasets.Value("string"),
                "ON STREET NAME": datasets.Value("string"),
                "CROSS STREET NAME": datasets.Value("string"),
                "OFF STREET NAME": datasets.Value("string"),
                "NUMBER OF PERSONS INJURED": datasets.Value("string"),
                "NUMBER OF PERSONS KILLED": datasets.Value("string"),
                "NUMBER OF PEDESTRIANS INJURED": datasets.Value("string"),
                "NUMBER OF PEDESTRIANS KILLED": datasets.Value("string"),
                "NUMBER OF CYCLIST INJURED": datasets.Value("string"),
                "NUMBER OF CYCLIST KILLED": datasets.Value("string"),
                "NUMBER OF MOTORIST INJURED": datasets.Value("string"),
                "NUMBER OF MOTORIST KILLED": datasets.Value("string"),
                "CONTRIBUTING FACTOR VEHICLE 1": datasets.Value("string"),
                "CONTRIBUTING FACTOR VEHICLE 2": datasets.Value("string"),
                "CONTRIBUTING FACTOR VEHICLE 3": datasets.Value("string"),
                "CONTRIBUTING FACTOR VEHICLE 4": datasets.Value("string"),
                "CONTRIBUTING FACTOR VEHICLE 5": datasets.Value("string"),
                "COLLISION_ID": datasets.Value("string"),
                "VEHICLE TYPE CODE 1": datasets.Value("string"),
                "VEHICLE TYPE CODE 2": datasets.Value("string"),
                "VEHICLE TYPE CODE 3": datasets.Value("string"),
                "VEHICLE TYPE CODE 4": datasets.Value("string"),
                "VEHICLE TYPE CODE 5": datasets.Value("string")
            }),
            supervised_keys=None,
        )

    def _split_generators(self, dl_manager):
        data_path = dl_manager.download_and_extract("NYC_Motor_Vehicle_Collisions_Mar_12_2025.csv")
        return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_path})
        ]

    def _generate_examples(self, filepath):
        with open(filepath, newline="", encoding="utf-8") as f:
            reader = csv.DictReader(f)
            for i, row in enumerate(reader):
                yield i, row